Bilde av Thrun, Solveig
Bilde av Thrun, Solveig
Stipendiat Fysihka ja teknologiija instituhtta solveig.thrun@uit.no +4777644265 +4777644265 Tromsø Gávnnat mu dáppe

Solveig Thrun



  • Fredrik Andreas Dahl, Amund Vedal, Line Eikvil, Solveig Thrun, Michael Kampffmeyer, Solveig Sand-Hanssen Hofvind :
    Modelling Uncertainty in Graph Convolutional Networks for Edge Detection in Mammograms
    Lecture Notes in Computer Science (LNCS) 15. Jul 2025 DOI / ARKIV
  • Zijun Sun, Solveig Thrun, Michael Kampffmeyer :
    VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction
    Lecture Notes in Computer Science (LNCS) 2025 DOI / ARKIV
  • Solveig Thrun, Stine Hansen, Zijun Sun, Nele Blum, Suaiba Amina Salahuddin, Kristoffer Wickstrøm et al.:
    Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
    Lecture Notes in Computer Science (LNCS) 20. Sep 2025 DOI / ARKIV
  • Suaiba Amina Salahuddin, Elisabeth Wetzer, Kristoffer Wickstrøm, Solveig Thrun, Michael Kampffmeyer, Robert Jenssen :
    Assessing the Efficacy of Multi-task Learning in Mammographic Density Classification: A Study on Class Imbalance and Model Performance
    Lecture Notes in Computer Science (LNCS) 16. Jun 2025 DOI / ARKIV
  • Solveig Thrun, Stine Hansen, Zijun Sun, Nele Blum, Suaiba Amina Salahuddin, Xin Wang et al.:
    Reconsidering Spatial Alignment for Longitudinal Breast Cancer Risk Prediction
    07. Dec 2025 ARKIV
  • Solveig Thrun, Stine Hansen, Nele Blum, Maik Stille, Robert Jenssen, Michael Kampffmeyer :
    TemporalMammoNet: Deep learning-based breast cancer classification using temporal mammograms
    08. Jan 2025 ARKIV
  • Solveig Thrun, Stine Hansen, Zijun Sun, Nele Blum, Suaiba Amina Salahuddin, Kristoffer Wickstrøm et al.:
    Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
    20. Sep 2025 ARKIV
  • Suaiba Amina Salahuddin, Elisabeth Wetzer, Kristoffer Wickstrøm, Solveig Thrun, Michael Kampffmeyer, Robert Jenssen :
    Assessing the Efficacy of Multi-task Learning in Mammographic Density Classification: A Study on Class Imbalance and Model Performance
    2025 ARKIV

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